標(biāo)題: Titlebook: Approximate Computing; Weiqiang Liu,Fabrizio Lombardi Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license t [打印本頁(yè)] 作者: Eschew 時(shí)間: 2025-3-21 17:51
書(shū)目名稱(chēng)Approximate Computing影響因子(影響力)
作者: visceral-fat 時(shí)間: 2025-3-21 22:02 作者: 前面 時(shí)間: 2025-3-22 01:14 作者: 光亮 時(shí)間: 2025-3-22 08:30 作者: 結(jié)合 時(shí)間: 2025-3-22 12:42
Spintronic Solutions for Approximate Computingxplored for both traditional full adders and write-only bitwise full adders with reduced complexity. The simulation results show that the energy can be significantly reduced with negligible loss in output quality.作者: 情感 時(shí)間: 2025-3-22 13:41 作者: 牢騷 時(shí)間: 2025-3-22 18:54
https://doi.org/10.1007/978-3-658-08028-0n the circuit design view. Approximate arithmetic circuits are the fundamental units in approximate computing and have been widely investigated. This chapter introduces and evaluates various basic arithmetic units like adder, multiplier, and divider. Besides, the error compensation scheme for approx作者: armistice 時(shí)間: 2025-3-22 23:26 作者: 憤怒歷史 時(shí)間: 2025-3-23 02:02
Was eine Corporate Identity ausmacht,and energy efficiency. However, the energy efficiency of an approximate multiplier largely depends on how and where the inaccuracy is introduced into the design, which can be roughly categorized to 3 design levels: (1) architecture, (2) algorithm, and (3) circuit. Such large design space inevitably 作者: Myocarditis 時(shí)間: 2025-3-23 07:23 作者: hair-bulb 時(shí)間: 2025-3-23 12:00 作者: 半球 時(shí)間: 2025-3-23 17:10
Design: Was das ist und was es bringt,hensive investigation of approximate unsigned and signed multiplier designs based on ML. Approximate partial product generation, reduction, and compression are discussed, specifically with some complementary strategies guided by an analysis of error effects to compensate for the accuracy loss. The a作者: 一罵死割除 時(shí)間: 2025-3-23 22:06 作者: Lobotomy 時(shí)間: 2025-3-23 23:54
https://doi.org/10.1007/978-3-322-84696-9 dependencies. Completion time and energy consumption are two main objectives for DFG optimization. In this chapter, we discuss approximation methods at different levels of DFG that can reduce energy consumption with a guaranteed quantity of results. First, we consider a probabilistic design framewo作者: Carbon-Monoxide 時(shí)間: 2025-3-24 04:25 作者: CHOKE 時(shí)間: 2025-3-24 08:03
https://doi.org/10.1007/978-3-322-82395-3s. It provides significant benefits for energy-efficient systems and is being considered for high speed and low power nanoscale integrated circuit (IC) designs. It is crucial for ICs to achieve high speed and low power, where some intrinsic errors are acceptable, such as (deep-) machine learning, im作者: 蛙鳴聲 時(shí)間: 2025-3-24 14:15 作者: FILLY 時(shí)間: 2025-3-24 14:56 作者: 搜集 時(shí)間: 2025-3-24 21:54 作者: 無(wú)法治愈 時(shí)間: 2025-3-25 01:16
https://doi.org/10.1007/978-3-642-17033-1 such as signal processing, machine learning (ML), and embedded systems. To reap maximum energy benefits as well as ensure high quality of solution for applications, innovations are needed across the entire computing stack (from circuits and architectures all the way up to algorithms). This chapter 作者: Intend 時(shí)間: 2025-3-25 04:27
Weiqiang Liu,Fabrizio LombardiServes as a single-source reference to state-of-the-art of approximate computing.Covers broad range of topics, from circuits to applications.Includes contributions by leading researchers, from academi作者: Eclampsia 時(shí)間: 2025-3-25 08:46 作者: 誘導(dǎo) 時(shí)間: 2025-3-25 11:49
https://doi.org/10.1007/978-3-030-98347-5approximate by design; stochastic computing; probabilistic computing; approximate circuits; variability 作者: Microaneurysm 時(shí)間: 2025-3-25 19:44
978-3-030-98349-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 背心 時(shí)間: 2025-3-25 20:29
Approximate Arithmetic Circuits: Design and Applicationsn the circuit design view. Approximate arithmetic circuits are the fundamental units in approximate computing and have been widely investigated. This chapter introduces and evaluates various basic arithmetic units like adder, multiplier, and divider. Besides, the error compensation scheme for approx作者: 大范圍流行 時(shí)間: 2025-3-26 00:28 作者: Canvas 時(shí)間: 2025-3-26 05:31 作者: Parabola 時(shí)間: 2025-3-26 10:38 作者: kidney 時(shí)間: 2025-3-26 12:40
Spintronic Solutions for Approximate Computingions. However, energy consumption has become a bottleneck for further scaling down of silicon-based devices, which can no longer be increased to ensure accuracy. In order to find a balance between accuracy and other performance metrics, approximate computing has been intensively studied and applied 作者: 形容詞 時(shí)間: 2025-3-26 20:11 作者: 鄙視 時(shí)間: 2025-3-26 20:59 作者: Ophthalmologist 時(shí)間: 2025-3-27 02:28 作者: 廣大 時(shí)間: 2025-3-27 05:47 作者: deficiency 時(shí)間: 2025-3-27 10:48 作者: 偏狂癥 時(shí)間: 2025-3-27 15:07 作者: 護(hù)身符 時(shí)間: 2025-3-27 19:11
Approximate Computing for Cryptography Generally, it has been employed in a lot of error-tolerant applications such as image/multimedia signal processing, machine learning, etc., applications that allow accuracy degradation without quality degradation. But, approximation has also the potential being utilized to provide area and power ef作者: 同步信息 時(shí)間: 2025-3-27 22:48
Towards Securing Approximate Computing Systems: Security Threats and Attack Mitigationecent literature indicates that some AC mechanisms could be exploited by attackers to implement new attack surfaces. In this chapter, we introduce unique attacks that are applicable to AC systems and provide examples of practical attacks. Furthermore, we introduce general principles of defense mecha作者: notion 時(shí)間: 2025-3-28 02:49
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspective such as signal processing, machine learning (ML), and embedded systems. To reap maximum energy benefits as well as ensure high quality of solution for applications, innovations are needed across the entire computing stack (from circuits and architectures all the way up to algorithms). This chapter 作者: 極少 時(shí)間: 2025-3-28 07:12 作者: Fracture 時(shí)間: 2025-3-28 12:52
https://doi.org/10.1007/978-3-642-17033-1mitives such as multipliers, adders, memories, and matrix vector multiplication units which are vital to build a machine learning accelerator. Several algorithm techniques that can utilize the aforementioned hardware level approximations to accelerate machine learning workloads are also discussed.作者: Robust 時(shí)間: 2025-3-28 18:29 作者: Forehead-Lift 時(shí)間: 2025-3-28 21:02
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspectivemitives such as multipliers, adders, memories, and matrix vector multiplication units which are vital to build a machine learning accelerator. Several algorithm techniques that can utilize the aforementioned hardware level approximations to accelerate machine learning workloads are also discussed.作者: NOCT 時(shí)間: 2025-3-29 02:21
Book 2022 in a single-source the state-of-the-art, covering the entire spectrum of research activities in approximate computing, bridging device, circuit, architecture, and system levels.? Content includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and ap作者: stress-response 時(shí)間: 2025-3-29 04:40
https://doi.org/10.1007/978-3-322-82395-3ing devices to securing machine learning models in the main memory. Our goal is to demonstrate the security promises and pitfalls of VOS to the engineers building the next generation of low-power voltage-overscaled systems.作者: 刀鋒 時(shí)間: 2025-3-29 09:26
Voltage Overscaling Techniques for Security Applicationsing devices to securing machine learning models in the main memory. Our goal is to demonstrate the security promises and pitfalls of VOS to the engineers building the next generation of low-power voltage-overscaled systems.作者: Missile 時(shí)間: 2025-3-29 14:05 作者: Intractable 時(shí)間: 2025-3-29 18:08
An Automated Logic-Level Framework for Approximate Modular Arithmetic Circuitsimations under a given error constraint to design approximate arithmetic circuits. Our proposed methodology improves on existing state-of-the-art manual design techniques and is evaluated by using them in error-tolerant case studies such as image sharpening and canny edge detection.作者: nocturnal 時(shí)間: 2025-3-29 22:09
Approximate Multiplier Design for Energy Efficiency: From Circuit to Algorithmincurs design complexities and challenges in selecting the appropriate multiplier for a particular application. Thus, this paper provides a comprehensive review of the state-of-the-art (SOTA) designs of approximate multipliers for future investigations.作者: 扔掉掐死你 時(shí)間: 2025-3-30 03:15 作者: 鉆孔 時(shí)間: 2025-3-30 05:39
Majority Logic-Based Approximate Multipliers for Error-Tolerant Applicationspproximate multiplier designs are comparatively evaluated from error and circuit characteristics. Image processing and neural networks as case studies of error-tolerant applications are presented to show the validity and advantages of the proposed designs.作者: 接合 時(shí)間: 2025-3-30 12:01
Test and Reliability of Approximate Hardwareimpact of the approximation on hardware defect classification, test generation, and test application. Moreover, the impact of the approximation on the fault tolerance will be discussed, along with related design solutions to mitigate it.作者: Herd-Immunity 時(shí)間: 2025-3-30 14:06
